4 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 4 cited
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis
Yan Zhao, Liwei Deng, Xuanhao Chen +7
The continued digitization of societal processes translates into a proliferation of time series data that cover applications such as fraud detection, intrusion detection, and energ…
cs.LG2022★ 3 cited
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection---Extended Version
Tung Kieu, Bin Yang, Chenjuan Guo +4
Time series data occurs widely, and outlier detection is a fundamental problem in data mining, which has numerous applications. Existing autoencoder-based approaches deliver state-…
cs.LG2021
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting
Yue Cui, Jiandong Xie, Kai Zheng
Long sequence time-series forecasting (LSTF) has become increasingly popular for its wide range of applications. Though superior models have been proposed to enhance the prediction…